Technical Account Manager

Overview

Key Responsibilities

• Deploy, configure, and optimize DDN storage and data management systems in customer environments.
• Partner with customer Site Reliability Engineering (SRE) and Operations teams to ensure production performance, availability, and scalability.
• Partner with DDN Sales and Sales Engineering teams to deliver solutions that add value to our customer environments
• Automate system monitoring, deployment, and configuration tasks using scripts and DevOps tooling.
• Troubleshoot and resolve complex issues across compute, storage, and networking layers.
• Develop and maintain deployment documentation, procedures, and best practices.
• Work with DDN Engineering and Product Management to translate field requirements into product enhancements (RFEs).
• Act as the on-site technical focal point during deployments, upgrades, and critical incidents.
• Lead technical meetings and operational reviews with customer and DDN stakeholders.
• Drive continuous improvement through feedback loops with Product, Support, and Engineering teams.
• Ensure alignment between deployed configurations and customer strategic roadmaps for HPC, AI, and ML workloads.

Required Skills and Experience

• 8+ years of hands-on technical experience in systems engineering, deployment, or operations.
• Strong Linux administration background.
• Proven experience deploying and managing large-scale HPC, AI, or ML infrastructure.
• Deep knowledge of parallel file systems (Exascaler, Lustre, or GPFS).
• Experience configuring and troubleshooting InfiniBand and high-performance Ethernet networks.
• Proficiency with DevOps tools and scripting (Python, Bash, Ansible, etc.) for automation and monitoring.
• Familiarity with containers, orchestration (Kubernetes, Slurm), and hybrid/cloud environments.
• Experience developing and maintaining technical documentation and operational runbooks.
• Strong communication skills with the ability to interface directly with customer, engineering and executive teams.
• Comfortable working independently in globally distributed environments.
• Willingness to travel as required (up to 25%).
• Ability to lift up to 75 pounds when supporting hardware installations.

Preferred Qualifications

• Experience with AI/ML workflows, GPU-accelerated computing, or large-scale data pipelines.
• Familiarity with observability stacks (Prometheus, Grafana, ELK).
• Understanding of CI/CD and infrastructure-as-code methodologies.
• Project management or DevOps certification (e.g., PMP, CKA, AWS Solutions Architect) is a plus.